📂 Reminder on Python set — set methods!
For example,
In the picture — the main methods and operations for working with set: addition, removal, union, intersection, difference, and set checks.
Save it to not lose it!
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For example,
add() adds an element to the set, update() combines several elements, and intersection() helps quickly find common values between data sets.In the picture — the main methods and operations for working with set: addition, removal, union, intersection, difference, and set checks.
Save it to not lose it!
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How to create an object from a dictionary with dot access — without classes and dataclasses?
When you're working with JSON, configurations, or APIs, constant access via dict['key'] clutters the code and worsens readability:
SimpleNamespace gives the same result, but with dot access:
In this case, the object remains dynamic, and you can add fields:
However, the keys must be valid attribute names, and this only works for flat dictionaries (nesting is not converted).
🔥Convenient for prototyping, testing, and simple data.
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When you're working with JSON, configurations, or APIs, constant access via dict['key'] clutters the code and worsens readability:
data = {"host": "localhost", "port": 5432}
data["host"]SimpleNamespace gives the same result, but with dot access:
cfg = SimpleNamespace(**data)
print(cfg.host)
In this case, the object remains dynamic, and you can add fields:
cfg.debug = True
However, the keys must be valid attribute names, and this only works for flat dictionaries (nesting is not converted).
🔥Convenient for prototyping, testing, and simple data.
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What are lambda functions in Python?
Lambda functions — are anonymous functions, which are created using the lambda keyword. They can accept any number of arguments, but contain only one expression, the result of which is automatically returned.
They are most often used for short operations, for example during sorting, filtering or data processing.
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Lambda functions — are anonymous functions, which are created using the lambda keyword. They can accept any number of arguments, but contain only one expression, the result of which is automatically returned.
They are most often used for short operations, for example during sorting, filtering or data processing.
# Example:
sorted_data = sorted(data, key=lambda x: x[1])
filtered_data = list(filter(lambda x: x > 0, numbers))
#Python #LambdaFunctions #DataScience #Coding #Programming #TechTips
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😍 learnxinyminutes — a brief and informative reference guide!
A convenient cheat sheet that allows you to quickly get acquainted with the basics of Python or refresh your knowledge before work. On one page, the key constructs of the language are collected: variables, functions, classes, collections, exception handling, etc. The format is as compact as possible, with a minimum of theory and a maximum of practical examples.
📌 I'll leave a link: learnxinyminutes.com
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A convenient cheat sheet that allows you to quickly get acquainted with the basics of Python or refresh your knowledge before work. On one page, the key constructs of the language are collected: variables, functions, classes, collections, exception handling, etc. The format is as compact as possible, with a minimum of theory and a maximum of practical examples.
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#Python #LearnToCode #Programming #CheatSheet #WebDev #CodingLife
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